Mitigation of Imperfect Successive Interference Cancellation and Wavelet-Based Nonorthogonal Multiple Access in the 5G Multiuser Downlink Network

Author:

Ahmad Muneeb1ORCID,Baig Sobia12ORCID,Asif Hafiz Muhammad3ORCID,Raahemifar Kaamran345ORCID

Affiliation:

1. Electrical and Computer Engineering Department, COMSATS University Isb, Lahore Campus, Lahore 54000, Pakistan

2. Energy Research Center, COMSATS University Isb, Lahore Campus, Lahore 54000, Pakistan

3. Department of Electrical and Computer Engineering, Sultan Qaboos University, Al-Khoud 123, Muscat Sultanate of Oman, Oman

4. College of Information Sciences and Technology (IST), Data Science and Artificial Intelligence Program, Penn State University, State College, Pennsylvania, PA 16801, USA

5. School of Optometry and Vision Science, Faculty of Science, Department of Chemical Engineering, Faculty of Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada

Abstract

The fourth Industrial Revolution is expected to lead to an era of technological innovation and digitization that would require connectivity by the users, anywhere and anytime. The fifth generation of wireless communication systems and the technologies therein are being explored to cater to high connectivity needs that encompass high data rates, very low latencies, energy-efficient systems, etc. A multiuser environment is anticipated that would require multiple access techniques, such as Nonorthogonal Multiple Access (NOMA). The user data in the power domain NOMA is superimposed, at the transmitter base station, which is in turn subjected to Successive Interference Cancellation at the user end. In the multiuser downlink, the desired user’s signal is subjected to imperfect SIC due to incomplete cancellation of the undesired user’s signal. Pulse-shaping of NOMA symbols using wavelet transform is proposed to mitigate the multiuser interference due to imperfect SIC. Closed-form symbol error rate (SER) expression is derived for the wavelet NOMA system for a three-user scenario. Analytical results show that wavelet transform pulse-shaped NOMA performs better compared to Fourier transform pulse-shaped NOMA symbols in mitigating SIC and thereby minimize the residual error due to imperfect SIC.

Funder

University of Waterloo

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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